Theory of Evolutionary Computation: Recent Developments in Discrete Optimization
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- Artikel-Nr.: 10394366
Beschreibung
Probabilistic Tools for the Analysis of Randomized Optimization Heuristics.- Drift Analysis.- Complexity Theory for Discrete Black-Box Optimization Heuristics.- Parameterized Complexity Analysis of Randomized Search Heuristics.- Analysing Stochastic Search Heuristics Operating on a Fixed Budget.- Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices.- Analysis of Evolutionary Algorithms in Dynamic and Stochastic Environments.- The Benefits of Population Diversity in Evolutionary Algorithms: A Survey of Rigorous Runtime Analyses.- Theory of Estimation-of-Distribution Algorithms.- Theoretical Foundations of Immune-Inspired Randomized Search Heuristics for Optimization.- Computational Complexity Analysis of Genetic Programming.
Eigenschaften
Breite: | 158 |
Gewicht: | 952 g |
Höhe: | 35 |
Länge: | 241 |
Seiten: | 506 |
Sprachen: | Englisch |
Autor: | Benjamin Doerr, Frank Neumann |
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